Title :
Cellular Automata Variation Particle Swarm Optimization Algorithm for Batch Scheduling
Author :
Zeng Min ; Long Qiao-yun ; Liu Qiong-mei
Author_Institution :
Sch. of Comput. & Commun., Hunan Univ. of Technol., Zhuzhou, China
Abstract :
The article in order to solve Panel Furniture business of mass customization´s batch scheduling, by analyzing production processes, the article proposes parallel machine serial-batching scheduling, in reaction to the problems of flexible production lines batch scheduling. The design is an adaptive Cellular Automat variation Particle Swarm optimization algorithm, which, when used for the single objective test, is better than the current records (For comparison, 30% of the probability finds the optimal solution, using parallel machine scheduling with standard 30 set of data).
Keywords :
cellular automata; furniture industry; mass production; particle swarm optimisation; product customisation; scheduling; adaptive cellular automata variation particle swarm optimization algorithm; flexible production line batch scheduling; mass customization batch scheduling; panel furniture business; parallel machine serial-batching scheduling; production process analysis; Arrays; Automata; Batch production systems; Job shop scheduling; Optimization; Particle swarm optimization; Batch production scheduling; Mass Customization (MC); Particle Swarm Optimization; cellular automaton;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
DOI :
10.1109/ISdea.2012.699
